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Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints
14 August 2020
Dmitri Goldenberg
Javier Albert
Lucas Bernardi
PabloA . Estevez
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Papers citing
"Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints"
23 / 23 papers shown
Optimal signals assignment for eBay View Item page
Matan Mandelbrod
Biwei Jiang
Giald Wagner
Tal Franji
Guy Feigenblat
59
0
0
03 Sep 2025
SACO: Sequence-Aware Constrained Optimization Framework for Coupon Distribution in E-commerce
Li Kong
Bingzhe Wang
Zhou Chen
Suhan Hu
Yuchao Ma
Qi Qi
Suoyuan Song
Bicheng Jin
OffRL
173
0
0
08 Aug 2025
Qini Curve Estimation under Clustered Network Interference
R. Karlsson
Bram van den Akker
Felipe Moraes
Hugo Manuel Proença
Jesse H. Krijthe
348
1
0
27 Feb 2025
Segment Discovery: Enhancing E-commerce Targeting
Qiqi Li
Roopali Singh
Charin Polpanumas
Tanner Fiez
Namita Kumar
Shreya Chakrabarti
326
3
0
31 Dec 2024
Enhancing Uplift Modeling in Multi-Treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques
Yoon Tae Park
Ting Xu
Mohamed Anany
237
0
0
24 Aug 2024
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
ACM Conference on Recommender Systems (RecSys), 2024
Zexu Sun
Hao Yang
Dugang Liu
Yunpeng Weng
Xing Tang
Xiuqiang He
OffRL
297
10
0
21 Aug 2024
Improve ROI with Causal Learning and Conformal Prediction
Meng Ai
Zhuo Chen
Jibin Wang
Jing Shang
Tao Tao
Zhen Li
321
3
0
01 Jul 2024
Benchmarking for Deep Uplift Modeling in Online Marketing
Dugang Liu
Xing Tang
Yang Qiao
Miao Liu
Zexu Sun
Xiuqiang He
Zhong Ming
354
4
0
01 Jun 2024
Causality from Bottom to Top: A Survey
Abraham Itzhak Weinberg
Cristiano Premebida
Diego Resende Faria
CML
312
6
0
17 Mar 2024
Distribution-consistency Structural Causal Models
Heyang Gong
Chaochao Lu
Yu Zhang
187
1
0
29 Jan 2024
Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems
Neural Information Processing Systems (NeurIPS), 2023
Haoyu Geng
Hang Ruan
Runzhong Wang
Yang Li
Yang Wang
Lei Chen
Junchi Yan
368
0
0
13 Nov 2023
Uplift Modeling: from Causal Inference to Personalization
International Conference on Information and Knowledge Management (CIKM), 2023
Felipe Moraes
Hugo Manuel Proença
A. Kornilova
Javier Albert
Dmitri Goldenberg
CML
214
16
0
17 Aug 2023
Incremental Profit per Conversion: a Response Transformation for Uplift Modeling in E-Commerce Promotions
Hugo Manuel Proença
Felipe Moraes
219
5
0
23 Jun 2023
Explicit Feature Interaction-aware Uplift Network for Online Marketing
Knowledge Discovery and Data Mining (KDD), 2023
Dugang Liu
Xing Tang
Han Gao
Fuyuan Lyu
Xiuqiang He
218
34
0
01 Jun 2023
An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint
Ziang Yan
Shusen Wang
Guorui Zhou
Jingjian Lin
Peng Jiang
OffRL
170
10
0
09 Feb 2023
Machine Learning Prescriptive Canvas for Optimizing Business Outcomes
H. Shteingart
Gerben Oostra
Ohad Levinkron
Naama Parush
G. Shabat
Daniel Aronovich
215
0
0
21 Jun 2022
LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm
The Web Conference (WWW), 2022
Meng Ai
Biao Li
Heyang Gong
Qingwei Yu
S. Xue
Yuan Zhang
Yunzhou Zhang
Peng Jiang
CML
OffRL
226
26
0
29 Jan 2022
E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling
International Conference on Information and Knowledge Management (CIKM), 2021
Javier Albert
Dmitri Goldenberg
321
37
0
11 Aug 2021
Uplift Modeling for Multiple Treatments with Cost Optimization
International Conference on Data Science and Advanced Analytics (DSAA), 2019
Zhenyu Zhao
Totte Harinen
323
63
0
14 Aug 2019
A Unified Framework for Marketing Budget Allocation
Kui Zhao
Junhao Hua
Ling Yan
Qi Zhang
Huan Xu
Cheng Yang
372
53
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04 Feb 2019
Democratizing online controlled experiments at Booking.com
Raphael Lopez Kaufman
Jegar Pitchforth
Lukas Vermeer
161
41
0
23 Oct 2017
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2017
Sören R. Künzel
Jasjeet Sekhon
Peter J. Bickel
Bin Yu
CML
856
1,194
0
12 Jun 2017
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
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0
09 Mar 2016
1
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